1 to 25 of 100 Permanent Snowflake Jobs in the South East

in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran, dbt) and More ❯

Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is More ❯

a positive and inclusive team culture What we’re looking for: Hands-on experience building and maintaining cloud-based data systems (e.g., Redshift, BigQuery, Snowflake) Strong coding skills in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow orchestration platforms More ❯

tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

Data space. This role will also allow the successful individual to cross-train into modern Data Engineering tools and Technologies such as Airflow, dbt, Snowflake, as well further develop their skills Python, SQL and Market Data platforms. The firm work on a hybrid working schedule (three days per week onsite More ❯

to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of relevant software engineering experience post-graduation A More ❯

and quality standards are met. Required Skills & Experience: 5+ years' experience as a Data Analyst Strong skills in Python, SQL and tools like dbt, Snowflake, AWS S3 and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least More ❯

architectures . Solid understanding of AWS services and DevOps principles. Passion for writing clean, maintainable code and improving team practices. Nice-to-Have Skills Snowflake/Data Warehousing DevOps & CI/CD experience GraphQL Benefits Competitive salary Pension & private medical (after probation) Employee discounts and more Ready to make an More ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯

Responsibilities Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics. Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and scalability. Partner with product and engineering teams to define data architecture and best practices for reporting. Ensure data security, compliance More ❯

with ETL/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset More ❯

Responsibilities : 16–18 years' experience in DWBI, Big Data, and Cloud Technologies. Hands-on expertise in at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka More ❯

or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic opportunity to lead the Data Platform Engineering division whether you decide to take your career path in More ❯

hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical More ❯

a Principal Data Engineer or Data Architect in a hands-on role; Deep expertise in Databricks and experience with cloud data platforms such as Snowflake, AWS or Azure; Strong proficiency in data modeling, data warehousing, and ETL/ELT architecture at scale; Advanced programming skills in SQL and Python; experience More ❯

building a robust data platform Great interpersonal skills and collaborative mindset Strong hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow Hands-on experience More ❯

You can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You … You will need: Minimum of two years of recent experience designing and implementing a full-scale data warehouse solution based on Snowflake A minimum of one year of performing architectural assessments, examining architectural alternatives, and choosing the best solution in collaboration with both IT and business stakeholders Fluent in Python More ❯

Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices Bonus: DP-203 or Fabric Analytics certification highly desirable. Important: Must have the More ❯

backlog management, and stakeholder engagement Experience working with or managing Data Engineering teams, with the ability to translate technical and business needs Knowledge of Snowflake and AWS platforms Familiarity with ETL tools such as DBT and Matillion Understanding of SQL and Python—enough to contribute to technical discussions and guide More ❯

this one's for you. Tech Stack & Approach Modern JavaScript/TypeScript full stack (NodeJS microservices, Vue.js) AWS cloud environment with Redis, SQL Server, Snowflake CI/CD deployment, agile processes, SOLID principles, automated testing Strong emphasis on clean, maintainable code and security best practices Your Role Turn user stories More ❯

this one's for you. Tech Stack & Approach Modern JavaScript/TypeScript full stack (NodeJS microservices, Vue.js) AWS cloud environment with Redis, SQL Server, Snowflake CI/CD deployment, agile processes, SOLID principles, automated testing Strong emphasis on clean, maintainable code and security best practices Your Role Turn user stories More ❯

this one's for you. Tech Stack & Approach Modern JavaScript/TypeScript full stack (NodeJS microservices, Vue.js) AWS cloud environment with Redis, SQL Server, Snowflake CI/CD deployment, agile processes, SOLID principles, automated testing Strong emphasis on clean, maintainable code and security best practices Your Role Turn user stories More ❯

and processes to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in More ❯

technologies. Skills and experience required: Minimum of 8+ years' experience in data engineering, with at least 3 years in a leadership capacity. Experience with Snowflake and Matillion preferred. Hands-on experience with large-scale real-time and batch data pipelines. Experience with Azure cloud platform, and security concepts i.e. Keyvault More ❯

in Computer Science, Information Technology, Mathematics, or a related discipline Proven experience of SQL and relational databases Experience of cloud technologies such as Azure, Snowflake and Terraform is advantageous Experience of knowledge of containers such as Docker and Kubernetes is advantageous Familiarity with at least one programming language (e.g. Python More ❯